Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin

ABSTRACT The Jaguarí River Basin forms the main water supply sources for the São Paulo Metropolitan Region and other cities in the state. Since the kinetic energy of rainfall is the driving force of water erosion, the main cause of land and water degradation, we tested the hypothesis of correlation...

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Main Authors: Lucas Machado Pontes, Marx Leandro Naves Silva, Diêgo Faustolo Alves Bispo, Fabio Arnaldo Pomar Avalos, Marcelo Silva de Oliveira, Humberto Ribeiro da Rocha
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2017-11-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100529&lng=en&tlng=en
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author Lucas Machado Pontes
Marx Leandro Naves Silva
Diêgo Faustolo Alves Bispo
Fabio Arnaldo Pomar Avalos
Marcelo Silva de Oliveira
Humberto Ribeiro da Rocha
author_facet Lucas Machado Pontes
Marx Leandro Naves Silva
Diêgo Faustolo Alves Bispo
Fabio Arnaldo Pomar Avalos
Marcelo Silva de Oliveira
Humberto Ribeiro da Rocha
author_sort Lucas Machado Pontes
collection DOAJ
description ABSTRACT The Jaguarí River Basin forms the main water supply sources for the São Paulo Metropolitan Region and other cities in the state. Since the kinetic energy of rainfall is the driving force of water erosion, the main cause of land and water degradation, we tested the hypothesis of correlation between the erosive potential of rainfall (erosivity) and geographical coordinates and altitude for the purpose of predicting the spatial and temporal distribution of the rainfall erosivity index (EI30) in the basin. An equation was used to estimate the (EI30) in accordance with the average monthly and total annual rainfall at rainfall stations with data available for the study area. In the regression kriging technique, the deterministic part was modeled using multiple linear regression between the dependent variable (EI30) and environmental predictor variables: latitude, longitude, and altitude. From the result of equations and the maps generated, a direct correlation between erosivity and altitude could be observed. Erosivity has a markedly seasonal behavior in accordance with the rainy season from October to March. This season concentrates 86 % of the estimated EI30 values, with monthly maximum values of up to 2,342 MJ mm ha-1 h-1 month-1 between December and January, and minimum of 34 MJ mm ha-1 h-1 month-1 in August. The highest values were found in the Mantiqueira Range region (annual average of up to 12,000 MJ mm ha-1 h-1), a region that should be prioritized in soil and water conservation efforts. From this validation, good precision and accuracy of the model was observed for the long period of the annual average, which is the main factor used in soil loss prediction models.
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spelling doaj.art-57e48ecb03984bb29812989ff55e7f222022-12-21T21:33:59ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572017-11-0141010.1590/18069657rbcs20160407S0100-06832017000100529Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River BasinLucas Machado PontesMarx Leandro Naves SilvaDiêgo Faustolo Alves BispoFabio Arnaldo Pomar AvalosMarcelo Silva de OliveiraHumberto Ribeiro da RochaABSTRACT The Jaguarí River Basin forms the main water supply sources for the São Paulo Metropolitan Region and other cities in the state. Since the kinetic energy of rainfall is the driving force of water erosion, the main cause of land and water degradation, we tested the hypothesis of correlation between the erosive potential of rainfall (erosivity) and geographical coordinates and altitude for the purpose of predicting the spatial and temporal distribution of the rainfall erosivity index (EI30) in the basin. An equation was used to estimate the (EI30) in accordance with the average monthly and total annual rainfall at rainfall stations with data available for the study area. In the regression kriging technique, the deterministic part was modeled using multiple linear regression between the dependent variable (EI30) and environmental predictor variables: latitude, longitude, and altitude. From the result of equations and the maps generated, a direct correlation between erosivity and altitude could be observed. Erosivity has a markedly seasonal behavior in accordance with the rainy season from October to March. This season concentrates 86 % of the estimated EI30 values, with monthly maximum values of up to 2,342 MJ mm ha-1 h-1 month-1 between December and January, and minimum of 34 MJ mm ha-1 h-1 month-1 in August. The highest values were found in the Mantiqueira Range region (annual average of up to 12,000 MJ mm ha-1 h-1), a region that should be prioritized in soil and water conservation efforts. From this validation, good precision and accuracy of the model was observed for the long period of the annual average, which is the main factor used in soil loss prediction models.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100529&lng=en&tlng=engeostatisticssoil and water conservationerosionEI30
spellingShingle Lucas Machado Pontes
Marx Leandro Naves Silva
Diêgo Faustolo Alves Bispo
Fabio Arnaldo Pomar Avalos
Marcelo Silva de Oliveira
Humberto Ribeiro da Rocha
Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
Revista Brasileira de Ciência do Solo
geostatistics
soil and water conservation
erosion
EI30
title Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
title_full Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
title_fullStr Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
title_full_unstemmed Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
title_short Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin
title_sort spatial distribution of annual and monthly rainfall erosivity in the jaguari river basin
topic geostatistics
soil and water conservation
erosion
EI30
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100529&lng=en&tlng=en
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